Course Overview
The Advanced Generative AI Development on AWS is designed for developers seeking to master the implementation of production-ready generative AI solutions on AWS. The course addresses the needs of organizations embarking on their generative AI journey and how to build comprehensive generative AI strategies that align with broader business objectives.
This advanced 3-day instructor-led training builds expertise across the entire generative AI stack – from foundation models to enterprise integration patterns. In addition, you will learn about advanced data processing techniques, vector database implementation and retrieval augmentation, sophisticated prompt engineering and governance, agentic AI systems and tool integration, AI safety and security measures, performance optimization and cost management strategies, comprehensive monitoring and observability solutions, testing and validation frameworks.
The course structure follows AWS’s proven model for generative AI adoption, progressing from experimentation to production-ready implementations.
What are the skills covered
In this course, you will learn to:
- Develop production-ready generative AI solutions on AWS that meet enterprise requirements for security, scalability, and reliability
- Evaluate and select appropriate foundation models for specific business use cases, including benchmarking performance and implementing dynamic model-selection architectures
- Design and implement foundation-model systems with circuit breakers, cross-region deployment, and degradation strategies
- Build comprehensive data-processing pipelines for multi-modal inputs, including validation workflows and optimization techniques
- Implement sophisticated vector-database solutions using Amazon Bedrock Knowledge Bases, OpenSearch, and hybrid approaches for effective retrieval augmentation
- Create and manage advanced prompt-engineering frameworks, including chain-of-thought reasoning and enterprise-wide prompt-governance systems
- Explain components of Agentic AI frameworks and Amazon Bedrock AgentCore
- Implement comprehensive AI safety and security controls, including content filtering, privacy preservation, and adversarial testing mechanisms
- Optimize performance and manage costs through token-efficiency strategies, batching implementations, and intelligent caching systems
- Design and implement comprehensive monitoring and observability solutions for foundation-model applications
- Create systematic testing and validation frameworks for continuous quality assurance of AI applications
- Integrate generative AI solutions within enterprise environments using secure, compliant, and scalable architectural patterns
Who should attend this course
This course is intended for those with:
- Software developers
- Technical Professionals
Course Curriculum
What are the Prerequisites
We recommend that attendees of this course have:
- AWS Technical Essentials
- Generative AI Essentials on AWS
- 2 or more years of experience building production grade applications on AWS or with opensource technologies, general AI/ML or data engineering experience
- 1 year of hands-on experience implementing generative AI solutions
Course Modules
Exam & Certification
AWS Certified Generative AI Developer – Professional showcases advanced technical expertise in building and deploying production-ready AI solutions using AWS Services like Bedrock. Perfect for developers with 2+ years of cloud experience looking to advance their careers.
For organizations investing in AI initiatives, this certification provides a reliable way to identify and verify developers who can move beyond proofs-of-concept to build production-grade generative AI solutions that deliver tangible business results while maintaining security and cost efficiency.
